Introduction to Data Science
by Jeffrey Stanton
2013
Number of pages: 196
Description:
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
Download or read it online for free here:
Download link
(19MB, PDF)
Similar books
Introduction to Imagingby Howard Besser - Getty Research Institute
The book allows curators, librarians, collection managers, students to better understand the processes involved in building a cohesive set of digital images. It also explores how to link digitized images to the information required to manage them.
(9249 views)
Practical Semantic Web and Linked Data Applicationsby Mark Watson
A guide for using RDF data in information processing, linked data, and semantic web applications using both the AllegroGraph product and the Sesame open source project. Primarily written for programmers using either Java or other JVM languages.
(14738 views)
Semantic Webby Gang Wu - InTech
Web 3.0 will be built on semantic Web technologies, which will allow data to be shared and reused. This book explains examines how this powerful new technology can unify and fully leverage the ever-growing data, information, and Internet services.
(12607 views)
Global Library and Information Scienceby Ismail Abdullahi (ed.) - De Gruyter Open Ltd
This book presents international librarianship and library science. The role of public, academic, special, school libraries, as well as library and information science education are presented from the early development to the present time.
(9416 views)